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All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Yesinta Florensia
Universitas Sriwijaya
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Environmental Science Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences Other

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Model Matematika Hibrida Lexicon–Harris Hawks Optimization untuk Analisis Sentimen Ulasan Produk Shopee Miftahul Falah; Yesinta Florensia; Dewi Sartika
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/h239eh92

Abstract

This research presents a hybrid Lexicon–Harris Hawks Optimization (HHO) mathematical model designed to improve sentiment analysis performance on Shopee product reviews. The rapid growth of e-commerce platforms has resulted in a large volume of user-generated content, making accurate sentiment classification essential for understanding customer opinions. Traditional lexicon-based methods are simple and interpretable but often limited by static sentiment scores that fail to capture contextual nuances in real-world review data. To overcome these limitations, this study integrates a lexicon-based scoring approach with HHO to dynamically optimize sentiment weights and enhance classification accuracy. The proposed method involves four main stages: data preprocessing, baseline lexicon-based sentiment scoring, lexicon weight optimization using HHO, and final sentiment classification. HHO is employed to search for optimal lexicon weight configurations through exploration and exploitation mechanisms modeled after the cooperative hunting behavior of Harris hawks. The optimized weights are then applied to recalculate sentiment scores and classify reviews into positive, negative, or neutral categories. Performance is evaluated using accuracy, precision, recall, and F1-score. Experimental results show that the hybrid model significantly outperforms the baseline lexicon method, achieving near-perfect classification performance. The confusion matrix reveals extremely low misclassification rates, while evaluation metrics exceed 90% across all categories. The convergence curve further demonstrates stable and efficient optimization behavior. Analysis of sentiment score outputs indicates improved sensitivity for both positive and negative expressions, as well as more accurate representation of reviewer intent.
Pengembangan Sistem Informasi Penomoran Surat Berbasis Web untuk Digitalisasi Administrasi Kelurahan Plaju Darat Bayu Wijaya Putra; Lulu Usni Dwi Putri; Nabila Nabila; Aprillia Syafitri; Ezanovia Ezanovia; Yesinta Florensia; Muhammad Ali Buchari; Hasnan Afif; Rusdi Efendi; Dewi Sartika; Anna Dwi Marjusalinah; Sri Turatmiyah; Abdiansah Abdiansah; Karen Nazzua Putri Pratami
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 6 No. 2 (2026): Maret 2026 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/altifani.v6i2.1028

Abstract

Pengelolaan surat di Kelurahan Plaju Darat sebelumnya masih manual sehingga sering terjadi ketidakteraturan penomoran, keterlambatan pencarian arsip, dan rendahnya akurasi administrasi. Kegiatan pengabdian ini bertujuan menerapkan Sistem Informasi Penomoran Surat berbasis web untuk meningkatkan efisiensi dan akuntabilitas pelayanan. Pendekatan Participatory Action Research (PAR) digunakan melalui tahapan identifikasi masalah, analisis kebutuhan, pengembangan sistem, pengujian, pelatihan, dan evaluasi. Sistem dikembangkan menggunakan CodeIgniter dan MySQL, kemudian diuji dengan Black Box Testing serta User Acceptance Testing. Hasil pre-test menunjukkan rata-rata nilai 51 dan meningkat menjadi 86,13 pada post-test, atau peningkatan 68,88% setelah pelatihan. Evaluasi kepuasan pengguna menunjukkan skor sangat baik, berada pada rentang 4,35–4,65, dengan nilai tertinggi pada efisiensi pencarian arsip dan akurasi penomoran otomatis. Program ini berhasil meningkatkan kompetensi aparatur dan efektivitas administrasi, serta mendukung transformasi digital kelurahan.
Comparative Analysis of SMOTE, WMOTE, and ADASYN Oversampling Methods on Multinomial Naive Bayes Performance in Classifying Toddlers Nutritional Status Naretha Kawadha Pasemah Gumay; Dewi Sartika; Rendra Gustriansyah; Yesinta Florensia; Miftahul Falah
Jurnal Teknologi dan Manajemen Informatika Vol. 12 No. 1 (2026): Juni 2026
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v12i1.16438

Abstract

Class imbalance in toddler nutritional status data often reduces the ability of classification models, especially in predicting minority classes. This study aims to analyze the impact of three oversampling techniques, namely SMOTE, WMOTE, and ADASYN, on improving the performance of the Multinomial Naive Bayes (MNB) algorithm. A dataset of 243 data was processed through a preprocessing stage by converting categorical variables using numeric labels. To meet the MNB algorithm's requirement for non-negative data, continuous numeric features (such as birth weight, birth height, weight, height, and age) were normalized using the Min-Max Scaler to the range [0, 1]. This process discretizes continuous values onto a probability scale to ensure feature compatibility with the Multinomial distribution. Data balancing was performed only on the training dataset, where the SMOTE method produced 374 data, ADASYN produced 375 data, and WMOTE produced 373 data. The evaluation results show that although all three oversampling methods experienced a slight decrease in global accuracy, the model's ability to detect minority classes improved, as evidenced by increases in G-Means and Balanced Accuracy. The test results concluded that MNB-ADASYN was the best model for prioritizing high sensitivity to all class labels, while MNB-WMOTE provided the most consistent global accuracy stability while maintaining performance on minority classes.
Implementasi Sistem Antrian Digital Untuk Optimalisasi Layanan Publik di Kelurahan Plaju Darat Yesinta Florensia; Rizki Kurniati; Rusdi Effendi; Junia Kurniati; Ardina Ariani; Muhammad Qurhanul Rizqie; Ken Ditha Tania; Dedy Kurniawan
Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia. Vol 5, No 1 (2026): Maret 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jpm.v5i1.2333

Abstract

Pemanfaatan teknologi informasi dalam pelayanan publik menjadi kebutuhan penting untuk meningkatkan efisiensi, transparansi, dan kualitas layanan kepada masyarakat. Salah satu permasalahan yang masih ditemui di Kelurahan Plaju Darat adalah pengelolaan antrian pelayanan administrasi yang masih dilakukan secara manual, sehingga menimbulkan antrian panjang, ketidakteraturan, dan ketidaknyamanan bagi masyarakat. Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk merancang dan mengimplementasikan sistem antrian digital berbasis website guna mengoptimalkan layanan publik di kelurahan tersebut. Metode yang digunakan adalah pendampingan partisipatif kolaboratif yang melibatkan perangkat kelurahan sejak tahap perencanaan hingga evaluasi. Sistem yang dibangun menyediakan fitur pendaftaran antrian daring, tampilan nomor antrian secara real-time, serta dashboard pemantauan bagi petugas. Hasil kegiatan menunjukkan bahwa sistem mampu meningkatkan keteraturan dan efisiensi pelayanan. Evaluasi melalui pre-test dan post-test menunjukkan adanya peningkatan pemahaman pengguna, serta didukung oleh hasil survei kepuasan yang menunjukkan respon positif terhadap kemudahan penggunaan dan manfaat sistem. Dengan demikian, implementasi sistem ini dinilai efektif dalam mendukung peningkatan kualitas pelayanan publik di Kelurahan Plaju Darat.
Co-Authors Abdiansah, Abdiansah Anna Dwi Marjusalinah Aprillia Syafitri Ardina Ariani Bayu Wijaya Putra Buchari, Muhammad Ali Dedy Kurniawan Dewi Sartika Ezanovia Ezanovia Hasnan Afif Junia Kurniati Karen Nazzua Putri Pratami Ken Ditha Tania Lulu Usni Dwi Putri Miftahul Falah Muhammad Qurhanul Rizqie Nabila Nabila Naretha Kawadha Pasemah Gumay Rendra Gustriansyah Rizki Kurniati Rusdi Efendi Rusdi Effendi Sri Turatmiyah